Fuzzy Proportion and Integral Control of Synchronous Generator

Abstract

A fuzzy proportion plus integral (FPI) control strategy is investigated for the automatic voltage regulator (AVR) of synchronous generators (SGs). The Takagi-Sugeno·(T-S) fuzzy state observer is employed to solve the SGs state estimation over its full operating range. Based on the obtained observer, an optimal PI controller is proposed to control over the excitation system of a SG. Then, the controller design is formulated as a H2 optimization problem, which can be transformed into eigenvalue problems (EVPs) with linear matrix inequality (LMI) constrains. The EVP is a convex optimization, which can be tackled easily by using MATLAB/LMI toolbox. Simulation results show the effectiveness of the proposed controller.